William Mayner

+1

+1

Can confirm that the same problem arises when explicitly providing a lock, using the Windows-supported code from [`tqmd/examples/parallel_bars.py`](https://github.com/tqdm/tqdm/blob/master/examples/parallel_bars.py): ```python from __future__ import print_function from time import sleep from tqdm import...

I don't think so; I ran the above code on Linux (in a Jupyter notebook).

Hello, Can you give more details? The information in your issue is not sufficient to address the problem. Please provide your: 1. Python version 2. Operating system and version 3....

Thanks. In that case, could you please also clarify what you mean by that term?

Thank you. It appears that this is related to [parallel cut evaluation](https://pyphi.readthedocs.io/en/latest/configuration.html#pyphi.conf.PyphiConfig.PARALLEL_CUT_EVALUATION). Can you please confirm that there is no increase in computation time when you set `pyphi.config.PARALLEL_CUT_EVALUATION = False`?

Thanks, this is a problem in another one of my libraries, pyemd. I'll have a look.

I'm not sure of the cause, but my guess is that it has to do with the iterative [min-cost flow algorithm](https://github.com/wmayner/pyemd/blob/develop/pyemd/lib/min_cost_flow.hpp) in the underlying C++ library. Unfortunately I don't have...

Try upgrading to the latest version of `pyemd`.